Evidence map›Paper›PMID 41332602›Full record

ArticlebioRxiv : the preprint server for biology2025

A method of comprehensive sequencing analysis of the small RNA fragmentome (RiboMarker

Rachel C Clark, Aidan C Manning, Jonathan M Howard, Sergio Barberán-Soler, Sergei A Kazakov

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Rachel C Clark
Aidan C Manning
Jonathan M Howard
Sergio Barberán-Soler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating cell-free nucleic acids (cfDNA and cfRNA) found in blood and other biofluids are promising biomarkers for cancer. However, current methods exploiting tumor-derived cfDNA (ctDNA) are not sensitive enough in detecting minimal residual disease and early stages of cancer when it is more treatable. Small RNAs and RNA fragments (sRNA) can potentially provide higher detection sensitivity and specificity than ctDNA. Sequencing analysis of the variety of sRNAs representing the entire RNA fragmentome would improve our understanding of their roles in cancer development and help to discover novel sRNA biomarkers for cancer diagnostics and personalized treatments. However, conventional methods of sRNA-Seq library preparation are limited to detection of sRNA with 5'-P and 3'-OH ends that represent only less than 10% of the whole RNA fragmentome, whereas sRNAs having different phosphorylation statuses (P or OH) of their termini are hidden. Although recently developed sRNA-Seq methods allow detection of most sRNA (including the hidden ones) simultaneously, these methods cannot both detect and distinguish among the individual RNAs with differing termini combinations (RNA Types). Here we describe the RiboMarker

Identifiers

PMID41332602
PMCPMC12667918

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.